Rapid visual detection of beef products adulteration using recombinase polymerase amplification combined with lateral flow dipstick

被引:0
作者
He, Gongwen [1 ]
Yang, Guiqin [1 ]
Zhu, Lili [1 ]
Pan, Zhiwen [1 ]
Chen, Ziyan [2 ]
Yao, Juan [1 ]
Jiang, Dagang [1 ]
机构
[1] South China Agr Univ, Coll Life Sci, Guangdong Prov Key Lab Dev Biol & Environm Adaptat, Guangzhou 510642, Peoples R China
[2] Minist Agr & Rural Affairs, Dev Ctr Sci & Technol, Beijing 100176, Peoples R China
关键词
RPA; LFD; Visual; Meat adulteration; Beef products; REAL-TIME PCR; MEAT; AUTHENTICATION; IDENTIFICATION; ASSAY;
D O I
10.1007/s00217-025-04711-3
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Beef is one of the most widely consumed meats worldwide, and its products are often adulterated with other meats. To protect consumers' rights and facilitate regulation by relevant government departments, it is important to develop a rapid and accurate method to detect adulteration in meat and meat products. In this study, we employed bioinformatics methods to identify specific sequences of cattle, pig, chicken, and duck, and designed primers and probes accordingly. A method based on recombinase polymerase amplification (RPA) combined with lateral flow dipstick (LFD) was developed for rapid visual detection of the authenticity of beef and beef products. The RPA reaction was conducted at 37 degrees C for 20 min. The amplification products were then diluted and applied to the sample pad of the LFD. Results were visible to the naked eye within 5 min. The results demonstrated that the method could specifically differentiate components of bovine, porcine, chicken, and duck origin, with a limit of detection (LOD) of approximately 20 copies for each species. The method was applied to 10 commercially available beef products. Of which, five samples were detected with porcine-derived components. The results of the RPA-LFD method were verified using PCR and observed to be consistent between the methods. Compared with other methods, this method is easy to use, requires no specialized equipment, and delivers results in about 30 min from amplification to detection, making it suitable for rapid visual detection on-site. Therefore, it can serve as a technical reference for detecting adulteration in meat and meat products.
引用
收藏
页码:1385 / 1395
页数:11
相关论文
共 32 条
[1]   Quantitative detection of pork meat by EvaGreen real-time PCR to assess the authenticity of processed meat products [J].
Amaral, Joana S. ;
Santos, Graciete ;
Oliveira, M. Beatriz P. P. ;
Mafra, Isabel .
FOOD CONTROL, 2017, 72 :53-61
[2]   Recombinase polymerase amplification applied to plant virus detection and potential implications [J].
Babu, Binoy ;
Ochoa-Corona, Francisco M. ;
Paret, Mathews L. .
ANALYTICAL BIOCHEMISTRY, 2018, 546 :72-77
[3]   A novel method to detect meat adulteration by recombinase polymerase amplification and SYBR green I [J].
Cao, Yuhao ;
Zheng, Kaizhi ;
Jiang, Junfang ;
Wu, Jianliang ;
Shi, Fangxiong ;
Song, Xuemei ;
Jiang, Yongqing .
FOOD CHEMISTRY, 2018, 266 :73-78
[4]   Development and Application of a Visual Duck Meat Detection Strategy for Molecular Diagnosis of Duck-Derived Components [J].
Chen, Xiaoyun ;
Yu, Huiru ;
Ji, Yi ;
Wei, Wei ;
Peng, Cheng ;
Wang, Xiaofu ;
Xu, Xiaoli ;
Sun, Meihao ;
Xu, Junfeng .
FOODS, 2022, 11 (13)
[5]   Authentication technologies using DNA-based approaches for meats and halal meats determination [J].
El Sheikha, Aly Farag ;
Mokhtar, Nur Fadhilah Khairil ;
Amie, Ceesay ;
Lamasudin, Dhilia Udie ;
Isa, Nurulfiza Mat ;
Mustafa, Shuhaimi .
FOOD BIOTECHNOLOGY, 2017, 31 (04) :281-315
[6]   Loop-Mediated Isothermal Amplification for Detection of Plant Pathogens in Wheat (Triticum aestivum) [J].
Gomez-Gutierrez, Sandra V. ;
Goodwin, Stephen B. .
FRONTIERS IN PLANT SCIENCE, 2022, 13
[7]   An effective droplet digital PCR method for identifying and quantifying meat adulteration in raw and processed food of beef (Bos taurus) and lamb (Ovis aries) [J].
He, Yuxuan ;
Yan, Wei ;
Dong, Liming ;
Ma, Yue ;
Li, Congcong ;
Xie, Yanbo ;
Liu, Na ;
Xing, Zhenjuan ;
Xia, Wei ;
Long, Likun ;
Li, Feiwu .
FRONTIERS IN SUSTAINABLE FOOD SYSTEMS, 2023, 7
[8]   Authentication of Halal and Kosher meat and meat products: Analytical approaches, current progresses and future prospects [J].
Hossain, M. A. Motalib ;
Uddin, Syed Muhammad Kamal ;
Sultana, Sharmin ;
Wahab, Yasmin Abdul ;
Sagadevan, Suresh ;
Johan, Mohd Rafie ;
Ali, Md. Eaqub .
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION, 2022, 62 (02) :285-310
[9]   Simple and fast multiplex PCR method for detection of species origin in meat products [J].
Izadpanah, Mehrnaz ;
Mohebali, Nazanin ;
Gorji, Zahra Elyasi ;
Farzaneh, Parvaneh ;
Vakhshiteh, Faezeh ;
Fazeli, Seyed Abolhassan Shahzadeh .
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2018, 55 (02) :698-703
[10]   Monoclonal antibody-based sandwich enzyme-linked immunosorbent assay for porcine hemoglobin quantification [J].
Jiang, Xingyi ;
Wu, Meng ;
Dong, Weiya ;
Rao, Qinchun ;
Huo, Huiling ;
Han, Qingan .
FOOD CHEMISTRY, 2020, 324 (324)